Evidence map›Paper›PMID 41262439›Full record

ArticleFrontiers in medicine2025

Relationship between professional identity and academic performance of medical undergraduates in China: the mediating role of self-efficacy.

Ge Zhang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Ge ZhangNorth Henan Medical University, Xinxiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Undergraduates' academic performance is susceptible to psychological factors. This study focused on investigating the relationship between professional identity, self-efficacy and academic performance of medical undergraduate and further explored the mediating role of self-efficacy. Methods: This study used quantitative research method to collect data from 350 five-year clinical medical undergraduates through an online survey. These participants completed the Professional Identity Questionnaire and the Academic Self-Efficacy Questionnaire, while the researcher assessed their academic performance by counting their GPAs. Correlation analysis was used to explore the relationship between professional identity, self-efficacy, and academic performance, and the mediating effect of self-efficacy was tested through the PROCESS macro of SPSS. Results: The results showed that there was a positive correlation between medical undergraduates' professional identity and academic performance, but the correlation between them was weak ( Discussion: This study contributes to the understanding of the relationship between professional identity, self-efficacy and academic performance of medical undergraduates. There is a correlation between professional identity, self-efficacy and academic performance, but the correlation between self-efficacy and academic performance is the strongest, the correlation between professional identity and self-efficacy is only moderate, and the correlation between professional identity and academic performance is the weakest. Therefore, it is recommended that medical universities and teachers pay great attention to the cognitive and psychological status of medical undergraduates, especially to the mediating role of self-efficacy, so as to help medical undergraduates to improve their academic performance in a targeted way.

Indexed as

academic performancemediating effectmedical undergraduateprofessional identityself-efficacy

Identifiers

PMID41262439
PMCPMC12623167

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.